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  5. 2007.05.24.remarks_at_the_george_washington_university_on_reducing_the_cost_of_health_care

Hillary Clinton

This speech titled 2007.05.24.remarks_at_the_george_washington_university_on_reducing_the_cost_of_health_care originally had 6253 tokens. In its cue-lag representation, it has 263 cue terms and an average lag of 21.7. You can see the original speech or the tokenized/stemmed speech with overlaying cue-lags.

Cue-lag representation

The table below shows the cue-lag representation of the speech. For each cue term, it also displays the posterior distributions over ideology.

# Cue term Lag before term Posterior distribution
Restart ∑Left Center ∑Right
1 higher_educ 42
✓
0.992 0.00617 0.00139
✗
0 0 0
2 high_school 33
✓
0.131 0 0.000796
✗
0.867 0 0.000597
3 medic_school 56
✓
0.193 0 0.0163
✗
0.791 0 0
4 import_issu 30
✓
0.129 0 0
✗
0.871 0 0
5 issu_face 0
✓
0.00358 0 0
✗
0.996 0 0
6 health_care 2
✓
0.0137 0.000398 0
✗
0.986 0 0
7 foreign_oil 45
✓
0.168 0 0.000199
✗
0.831 0 0
8 educ_system 5
✓
0.0302 0 0
✗
0.97 0 0
9 small_busi 19
✓
0.0677 0.00318 0
✗
0.929 0 0
10 busi_owner 0
✓
0.00259 0 0
✗
0.994 0.00318 0
11 health_care_system 19
✓
0.0645 0 0
✗
0.936 0 0
12 moral_imper 99
✓
0.158 0.000199 0.000199
✗
0.841 0 0
13 health_coverag 39
✓
0.0557 0.000398 0
✗
0.944 0 0
14 lower_cost 10
✓
0.0163 0 0
✗
0.983 0.000398 0
15 health_care_cost 24
✓
0.0358 0.000796 0
✗
0.963 0.000398 0
16 averag_wage 19
✓
0.0279 0 0.000199
✗
0.971 0.000597 0
17 small_busi 15
✓
0.0203 0.000199 0
✗
0.979 0.000597 0
18 health_care_cost 9
✓
0.0137 0 0
✗
0.985 0.000796 0
19 american_compani 12
✓
0.0169 0 0
✗
0.983 0 0
20 global_economi 9
✓
0.00398 0 0
✗
0.996 0 0
21 foreign_compani 5
✓
0.00179 0 0
✗
0.998 0 0
22 health_care 6
✓
0.00179 0 0
✗
0.998 0 0
23 gross_domest_product 7
✓
0.00199 0 0
✗
0.998 0 0
24 __MONEY___trillion 3
✓
0.000796 0 0
✗
0.999 0 0
25 health_care 3
✓
0.000796 0 0
✗
0.999 0 0
26 health_cost 4
✓
0.000199 0 0
✗
1 0 0
27 __MONEY___trillion 5
✓
0.000995 0 0
✗
0.999 0 0
28 __NUM___year 14
✓
0.00896 0 0
✗
0.991 0 0
29 __NUM___cent 2
✓
0.000597 0 0
✗
0.999 0 0
30 __MONEY___billion 26
✓
0.00358 0 0
✗
0.996 0 0
31 wealthi_countri 3
✓
0.000199 0 0
✗
1 0 0
32 spend___MONEY__ 5
✓
0.00159 0 0
✗
0.998 0 0
33 life_expect 29
✓
0.00199 0 0
✗
0.998 0 0
34 health_care 30
✓
0.00736 0 0
✗
0.993 0 0
35 past___NUM___year 13
✓
0.00179 0 0
✗
0.998 0 0
36 __NUM___level 13
✓
0.000796 0 0
✗
0.999 0 0
37 health_care 10
✓
0.00239 0 0
✗
0.998 0 0
38 __MONEY___billion 6
✓
0.000398 0 0
✗
1 0 0
39 health_care 9
✓
0.00299 0 0
✗
0.997 0 0
40 heart_diseas 19
✓
0.00259 0 0
✗
0.997 0 0
41 health_care 5
✓
0.00179 0 0
✗
0.998 0 0
42 roughli___MONEY__ 3
✓
0.000597 0 0
✗
0.999 0 0
43 __MONEY___trillion 0
✓
0.000398 0 0
✗
1 0 0
44 health_care 37
✓
0.0734 0.000199 0
✗
0.926 0 0
45 administr_cost 10
✓
0.00955 0 0
✗
0.99 0 0
46 health_care 15
✓
0.0404 0 0
✗
0.96 0 0
47 privat_insur 8
✓
0.0135 0 0
✗
0.986 0 0
48 insur_plan 0
✓
0.000796 0 0
✗
0.999 0 0
49 administr_cost 2
✓
0.000995 0 0
✗
0.999 0 0
50 health_risk 5
✓
0.000597 0 0
✗
0.999 0 0
51 spend___MONEY__ 14
✓
0.00259 0 0
✗
0.997 0 0
52 health_care 2
✓
0.000398 0 0
✗
1 0 0
53 recent_report 14
✓
0.00119 0 0
✗
0.999 0 0
54 unit_state 5
✓
0.00299 0 0
✗
0.997 0 0
55 state_spend 0
✓
0 0 0
✗
1 0 0
56 __NUM___billion 1
✓
0.000398 0 0
✗
1 0 0
57 administr_cost 7
✓
0.00119 0 0
✗
0.999 0 0
58 good_health 8
✓
0.00418 0 0
✗
0.996 0 0
59 health_care 0
✓
0.000398 0 0
✗
1 0 0
60 santa_barbara 19
✓
0.00199 0 0
✗
0.998 0 0
61 test_result 21
✓
0.00179 0 0
✗
0.998 0 0
62 recent_studi 4
✓
0.000398 0 0
✗
1 0 0
63 same_time 36
✓
0.00438 0.000796 0
✗
0.995 0 0
64 recent_studi 22
✓
0.00239 0.000597 0
✗
0.996 0.000597 0
65 unit_state 37
✓
0.0332 0.000199 0.000199
✗
0.966 0 0
66 life_expect 3
✓
0.000597 0 0
✗
0.999 0 0.000199
67 health_care_system 14
✓
0.0953 0 0
✗
0.905 0 0
68 simpli_put 15
✓
0.205 0.00139 0.0103
✗
0.784 0 0
69 __NUM___million_peopl 20
✓
0.129 0 0
✗
0.871 0 0
70 privat_insur 5
✓
0.0125 0 0
✗
0.987 0 0
71 point_plan 20
✓
0.0253 0.000597 0.00677
✗
0.967 0 0
72 health_care_cost 3
✓
0.0149 0.000796 0
✗
0.984 0.000199 0.000199
73 healthcar_system 10
✓
0.0121 0 0
✗
0.988 0 0
74 nation_consensu 15
✓
0.0203 0 0
✗
0.98 0 0
75 cost_save 3
✓
0.00418 0 0
✗
0.996 0 0
76 prevent_care 41
✓
0.00438 0 0
✗
0.996 0 0
77 save_monei 4
✓
0.000597 0 0
✗
0.999 0 0
78 long_run 3
✓
0 0 0
✗
1 0 0
79 roughli___NUM___percent 37
✓
0.00697 0.00358 0
✗
0.989 0 0
80 estim___NUM__ 17
✓
0.00318 0.000199 0.000199
✗
0.994 0.00259 0
81 nation_health 5
✓
0.0225 0 0.000398
✗
0.976 0.000995 0
82 health_care 4
✓
0.0919 0.00119 0
✗
0.906 0.000597 0
83 young_peopl 26
✓
0.194 0.000796 0
✗
0.805 0 0
84 insur_compani 20
✓
0.043 0.000995 0
✗
0.956 0.000398 0
85 health_care 69
✓
0.0917 0.000199 0
✗
0.908 0 0
86 insur_compani 6
✓
0.00935 0 0
✗
0.991 0 0
87 save_monei 59
✓
0.07 0 0
✗
0.93 0 0
88 insur_compani 4
✓
0.00736 0 0
✗
0.993 0 0
89 prevent_care 4
✓
0.00577 0 0
✗
0.994 0 0
90 control_group 76
✓
0.0277 0.000796 0.000597
✗
0.971 0 0
91 ag___NUM__ 8
✓
0.00358 0 0
✗
0.995 0.000597 0.000597
92 privat_sector 30
✓
0.00955 0.00697 0
✗
0.983 0.000597 0
93 pai___NUM__ 16
✓
0.00378 0.00478 0
✗
0.984 0.00736 0
94 prevent_care 5
✓
0.0147 0 0
✗
0.983 0.00199 0
95 chronic_condit 23
✓
0.0478 0.000199 0.000995
✗
0.951 0 0
96 averag_cost 16
✓
0.191 0.00796 0
✗
0.801 0 0
97 health_care_cost 10
✓
0.0229 0.00259 0
✗
0.967 0.00736 0
98 health_program 36
✓
0.047 0.00119 0.000398
✗
0.947 0.00458 0
99 feder_employe 7
✓
0.0223 0 0
✗
0.978 0 0
100 health_benefit 1
✓
0.00219 0 0
✗
0.998 0 0
101 feder_govern 15
✓
0.0203 0 0
✗
0.98 0 0
102 feder_spend 27
✓
0.0157 0 0.000199
✗
0.984 0 0
103 privat_sector 16
✓
0.00597 0 0
✗
0.994 0 0
104 prevent_care 7
✓
0.00119 0 0
✗
0.999 0 0
105 speak_english 61
✓
0.0197 0.000796 0.0103
✗
0.969 0 0
106 insur_plan 38
✓
0.0308 0 0
✗
0.969 0 0.000398
107 health_care_system 75
✓
0.0273 0 0
✗
0.973 0 0
108 __NUM___centuri 6
✓
0.00219 0 0
✗
0.998 0 0
109 inform_technolog 14
✓
0.00318 0 0
✗
0.997 0 0
110 medic_record 47
✓
0.00597 0 0.000199
✗
0.994 0 0
111 prescript_drug 33
✓
0.0265 0.000796 0
✗
0.973 0 0
112 medic_record 33
✓
0.00637 0 0
✗
0.994 0 0
113 __NUM___cent 44
✓
0.0123 0 0
✗
0.988 0 0
114 studi_found 7
✓
0.00119 0 0
✗
0.999 0 0
115 __MONEY___billion 12
✓
0.000796 0 0
✗
0.999 0 0
116 medic_record 8
✓
0.00139 0 0
✗
0.999 0 0
117 inform_technolog 20
✓
0.00279 0 0
✗
0.997 0 0
118 health_care_system 3
✓
0.000597 0 0
✗
0.999 0 0
119 __MONEY___billion 31
✓
0.00279 0 0
✗
0.997 0 0
120 health_care 7
✓
0.00239 0 0
✗
0.998 0 0
121 test_result 12
✓
0.000796 0 0
✗
0.999 0 0
122 estim___NUM__ 41
✓
0.00537 0 0
✗
0.995 0 0
123 roughli___MONEY__ 9
✓
0.000995 0 0
✗
0.999 0 0
124 __MONEY___billion 0
✓
0 0 0
✗
1 0 0
125 inform_technolog 7
✓
0.000597 0 0
✗
0.999 0 0
126 __NUM___year 11
✓
0.00378 0 0
✗
0.996 0 0
127 medic_system 39
✓
0.00458 0 0
✗
0.995 0 0
128 test_result 42
✓
0.00299 0 0.000995
✗
0.996 0 0
129 bar_code 5
✓
0.00657 0.00139 0.00139
✗
0.99 0 0.000796
130 health_care 44
✓
0.0878 0.000597 0
✗
0.911 0.000398 0
131 unit_state 3
✓
0.00458 0 0.000199
✗
0.994 0.000995 0
132 health_care 46
✓
0.0271 0.000199 0
✗
0.973 0.000199 0
133 nation_averag 54
✓
0.0187 0 0
✗
0.981 0 0
134 averag_ag 5
✓
0.000398 0 0
✗
1 0 0
135 inform_technolog 30
✓
0.00219 0 0
✗
0.998 0 0
136 medic_error 10
✓
0.000995 0 0
✗
0.999 0 0
137 healthcar_cost 26
✓
0.00279 0.00677 0.000796
✗
0.99 0 0
138 feder_program 71
✓
0.112 0 0.000995
✗
0.887 0 0
139 __MONEY___billion 39
✓
0.0173 0.00219 0.000995
✗
0.979 0 0.000199
140 heart_diseas 46
✓
0.0177 0 0.000199
✗
0.981 0.000199 0.000398
141 nation_health 26
✓
0.0257 0 0
✗
0.974 0 0
142 health_care 0
✓
0.00816 0.000398 0
✗
0.991 0 0
143 week_ago 59
✓
0.231 0 0.000199
✗
0.769 0 0
144 __NUM___year 21
✓
0.0464 0 0.000597
✗
0.953 0 0
145 blood_pressur 17
✓
0.0324 0.000199 0
✗
0.967 0 0.000597
146 feder_employe 274
✓
0.267 0 0
✗
0.733 0 0
147 health_benefit 1
✓
0.00279 0 0
✗
0.997 0 0
148 privat_plan 30
✓
0.038 0 0
✗
0.962 0 0
149 cost_save 41
✓
0.0462 0 0
✗
0.954 0 0
150 inform_technolog 17
✓
0.00219 0 0
✗
0.998 0 0
151 save___MONEY__ 3
✓
0.000995 0 0
✗
0.999 0 0
152 __MONEY___billion 0
✓
0.000796 0 0
✗
0.999 0 0
153 studi_found 3
✓
0.000199 0 0
✗
1 0 0
154 __MONEY___billion 17
✓
0.000995 0 0
✗
0.999 0 0
155 billion_dollar 0
✓
0.000398 0 0
✗
1 0 0
156 small_busi 11
✓
0.288 0.00139 0
✗
0.711 0 0
157 lower_cost 9
✓
0.0141 0 0
✗
0.986 0 0
158 insur_compani 3
✓
0.00537 0 0
✗
0.995 0 0
159 univers_coverag 15
✓
0.0213 0 0
✗
0.979 0 0
160 administr_cost 21
✓
0.0265 0 0
✗
0.974 0 0
161 small_busi 2
✓
0.00776 0 0
✗
0.992 0 0
162 univers_coverag 11
✓
0.0191 0 0
✗
0.981 0 0
163 insur_compani 1
✓
0.00299 0 0
✗
0.997 0 0
164 health_care 112
✓
0.159 0.00219 0.000199
✗
0.839 0 0
165 good_polici 43
✓
0.0643 0 0.000199
✗
0.936 0 0
166 special_oper 7
✓
0.0145 0.000398 0.00179
✗
0.983 0 0.000199
167 insur_compani 15
✓
0.0507 0.00139 0
✗
0.947 0.000398 0.000199
168 unit_state 45
✓
0.453 0 0.00836
✗
0.539 0 0
169 state_senat 0
✓
0.00498 0 0
✗
0.988 0 0.00736
170 insur_compani 4
✓
0.0195 0.000597 0
✗
0.98 0 0.000199
171 higher_rate 48
✓
0.123 0.00537 0.00358
✗
0.868 0.000199 0
172 health_problem 4
✓
0.0185 0 0
✗
0.98 0.000398 0.00159
173 administr_cost 46
✓
0.0702 0.000199 0
✗
0.93 0 0
174 health_insur 94
✓
0.151 0.000597 0
✗
0.848 0 0
175 __NUM___year 25
✓
0.0384 0 0.000199
✗
0.961 0 0
176 insur_compani 11
✓
0.0145 0 0
✗
0.985 0 0
177 privat_plan 83
✓
0.0981 0 0
✗
0.902 0 0
178 administr_cost 7
✓
0.0101 0 0
✗
0.99 0 0
179 insur_compani 7
✓
0.0115 0 0
✗
0.988 0 0
180 bottom_line 2
✓
0.00199 0 0
✗
0.998 0 0
181 administr_cost 16
✓
0.0133 0 0
✗
0.987 0 0
182 __NUM___billion 7
✓
0.00239 0.00159 0
✗
0.996 0 0
183 privat_sector 45
✓
0.0356 0.00279 0.00239
✗
0.958 0.00119 0
184 health_profession 15
✓
0.0344 0.00517 0.0127
✗
0.941 0.00398 0.00239
185 human_servic 85
✓
0.375 0.000199 0.0139
✗
0.607 0.000199 0.00318
186 long_time 51
✓
0.388 0.000796 0.00139
✗
0.608 0 0.00179
187 recent_studi 59
✓
0.147 0.000199 0
✗
0.853 0.000199 0
188 research_show 3
✓
0.000995 0 0
✗
0.999 0 0
189 __MONEY___trillion 8
✓
0.000796 0.00199 0
✗
0.997 0 0
190 __MONEY___million 114
✓
0.0291 0 0
✗
0.971 0 0
191 million_dollar 0
✓
0.000199 0 0
✗
1 0 0
192 health_system 10
✓
0.0107 0 0
✗
0.989 0 0
193 includ___NUM__ 15
✓
0.508 0.0498 0.0111
✗
0.431 0 0
194 __NUM___dai 0
✓
0.00915 0.00139 0.00876
✗
0.921 0.0484 0.0111
195 medic_devic 111
✓
0.257 0.00876 0.0165
✗
0.699 0.0129 0.00537
196 insur_compani 18
✓
0.0677 0.000995 0
✗
0.921 0.0107 0
197 drug_compani 2
✓
0.00498 0.000199 0
✗
0.983 0.0113 0
198 north_carolina 47
✓
0.0862 0 0
✗
0.914 0 0
199 estim___MONEY__ 13
✓
0.0165 0 0.000199
✗
0.983 0 0
200 __MONEY___million 0
✓
0.00139 0.000199 0
✗
0.998 0 0.000199
201 health_care_cost 34
✓
0.0754 0.00995 0
✗
0.915 0 0
202 prescript_drug 9
✓
0.0131 0.000597 0
✗
0.977 0.00915 0
203 clinic_trial 31
✓
0.0484 0 0.000199
✗
0.951 0 0
204 drug_price 31
✓
0.0426 0 0
✗
0.957 0 0
205 __NUM___time 18
✓
0.0207 0.0109 0.00318
✗
0.965 0 0
206 industri_countri 6
✓
0.00876 0.000796 0.000199
✗
0.978 0.00955 0.00299
207 past_decad 3
✓
0.00557 0.00119 0.000199
✗
0.98 0.00995 0.00259
208 prescript_drug 2
✓
0.0117 0.000796 0
✗
0.977 0.0101 0.000597
209 drug_price 41
✓
0.0898 0 0
✗
0.91 0 0
210 privat_plan 20
✓
0.0253 0 0
✗
0.975 0 0
211 __MONEY___billion 28
✓
0.032 0 0
✗
0.968 0 0
212 billion_dollar 0
✓
0 0 0
✗
1 0 0
213 lower_cost 35
✓
0.00617 0 0
✗
0.994 0 0
214 percent_increas 30
✓
0.00478 0 0
✗
0.995 0 0
215 __MONEY___billion 8
✓
0.000597 0 0
✗
0.999 0 0
216 billion_dollar 0
✓
0.000199 0 0
✗
1 0 0
217 pharmaceut_compani 12
✓
0.0818 0.000199 0.000796
✗
0.917 0 0
218 averag_cost 64
✓
0.18 0.00378 0
✗
0.816 0 0
219 bipartisan_support 22
✓
0.0291 0.000398 0.000199
✗
0.97 0.000597 0
220 long_overdu 4
✓
0.00617 0 0
✗
0.994 0 0
221 save___MONEY__ 60
✓
0.0545 0 0
✗
0.945 0 0
222 __MONEY___billion 2
✓
0.000398 0 0
✗
1 0 0
223 billion_dollar 0
✓
0 0 0
✗
1 0 0
224 lower_cost 18
✓
0.00318 0 0
✗
0.997 0 0
225 medic_malpractic 6
✓
0.00159 0 0
✗
0.998 0 0
226 health_care 14
✓
0.00398 0 0
✗
0.996 0 0
227 medic_error 41
✓
0.00498 0 0
✗
0.995 0 0
228 health_care 35
✓
0.0103 0 0
✗
0.99 0 0
229 medic_error 8
✓
0.000597 0 0
✗
0.999 0 0
230 health_system 13
✓
0.00159 0 0
✗
0.998 0 0
231 medic_error 9
✓
0.000995 0 0
✗
0.999 0 0
232 administr_cost 43
✓
0.00458 0 0
✗
0.995 0 0
233 million_dollar 6
✓
0.000796 0 0
✗
0.999 0 0
234 cost_save 3
✓
0.000199 0.000398 0.000398
✗
0.999 0 0
235 small_percentag 42
✓
0.237 0.00816 0.00179
✗
0.752 0 0.000398
236 made_clear 25
✓
0.0285 0.0312 0.00398
✗
0.927 0.00776 0.00159
237 health_care_cost 17
✓
0.0295 0.00418 0
✗
0.932 0.0336 0.000597
238 spend_increas 17
✓
0.0283 0.000995 0.00756
✗
0.939 0.0235 0.000597
239 healthcar_cost 48
✓
0.0448 0.000995 0.000199
✗
0.948 0.00557 0
240 save___MONEY__ 8
✓
0.00776 0 0
✗
0.992 0.000199 0
241 __MONEY___billion 0
✓
0.000398 0 0
✗
1 0 0
242 billion_dollar 0
✓
0.000199 0 0
✗
1 0 0
243 inform_technolog 3
✓
0.000199 0 0
✗
1 0 0
244 __MONEY___billion 8
✓
0.000199 0 0
✗
1 0 0
245 billion_dollar 0
✓
0 0 0
✗
1 0 0
246 __MONEY___billion 7
✓
0 0 0
✗
1 0 0
247 health_plan 8
✓
0.00338 0.000199 0
✗
0.996 0 0
248 health_care_system 20
✓
0.00338 0 0
✗
0.997 0 0
249 __MONEY___billion 40
✓
0.00597 0 0
✗
0.994 0 0
250 billion_dollar 0
✓
0 0 0
✗
1 0 0
251 busi_roundtabl 74
✓
0.0105 0.000398 0
✗
0.989 0 0
252 inform_technolog 11
✓
0.00219 0 0
✗
0.998 0 0
253 save___MONEY__ 6
✓
0.000796 0.000199 0
✗
0.999 0 0
254 __NUM___million_american 50
✓
0.0398 0.000199 0.000796
✗
0.959 0 0
255 administr_cost 39
✓
0.0171 0 0
✗
0.983 0 0
256 present_system 2
✓
0.00537 0.00199 0.00259
✗
0.99 0 0
257 american_peopl 162
✓
0.529 0.00318 0.0113
✗
0.456 0.000398 0
258 healthcar_system 14
✓
0.0422 0 0.000199
✗
0.956 0 0.00139
259 lower_cost 6
✓
0.0105 0 0
✗
0.989 0 0.000796
260 __NUM___million 9
✓
0.324 0.00517 0
✗
0.671 0 0
261 fellow_american 4
✓
0.271 0.000398 0.00139
✗
0.726 0.000597 0
262 polit_system 53
✓
0.196 0.000199 0.000597
✗
0.803 0 0.000199
263 healthcar_system 9
✓
0.034 0 0.00179
✗
0.963 0.000199 0.000796
__END_OF_SPEECH__ 8